spotify - Analyst, FP&A- Ads
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Requirements
• You have 2+ years of experience in FP&A, investment banking, consulting, corporate finance, or a similar analytical role • You are experienced with Excel or Google Sheets and working with large, complex datasets • You are comfortable using data tools such as SQL, Tableau, Looker, or similar • You know how to turn complex data into clear, simple insights that influence decisions • You are organized and can manage multiple priorities in a fast-moving environment • You care about collaboration and enjoy working across teams to solve problems • You bring curiosity, a proactive mindset, and a focus on continuous improvement • ## Where You'll Be • This role is based in London • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. • We ask that you come in 3 times per week • At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
Responsibilities
• Build and improve financial models that support forecasting, budgeting, and long-range planning across advertising revenue and content costs • Prepare clear, actionable reporting and performance insights for business leaders and Corporate FP&A • Support global revenue forecasting by analyzing demand trends, pricing, inventory, and sales performance • Partner on deal modeling and scenario analysis to evaluate new business opportunities and their impact on the P&L • Develop and enhance dashboards and reporting tools to track performance, monetization trends, and key metrics • Collaborate with cross-functional partners to align financial plans with product, market, and business strategies • Help improve FP&A processes, systems, and data infrastructure as we scale
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